Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
A new paradigm for computer-based decision support
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
A new hybrid case-based architecture for medical diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
Decision Support Systems - Special issue: Economics and information systems
Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
Interacting with Computers
Investigating interactions of trust and interest similarity
Decision Support Systems
Expert Systems with Applications: An International Journal
Collaborative filtering based on iterative principal component analysis
Expert Systems with Applications: An International Journal
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm
International Journal of Business Information Systems
International Journal of Business Information Systems
Scope of ontological annotation in e-commerce
International Journal of Business Information Systems
International Journal of Business Information Systems
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This paper presents a new algorithm for recommender systems applied to smart carts. As the customers pass through the store's aisles, they place their desired products in their cart baskets. In many instances, the customers pick an item from the shelf and place it in the basket but after a while they find a similar item with different specifications. The difference may be in price, quality, weight or other factors. In our proposed plan, based on the customer's decision from choosing the first item and replacing it with another item from the same group, there will be an attempt to identify the customer's taste and accordingly recommend a third, fourth, etc., item that might also meet his/her needs. The complete algorithm is introduced as a systematic procedure and the implementation results are shown. The proposed recommender system is designed based on the features of smart carts. We have simulated a part of the smart cart in an application, named NIKSHIRI-Shop, using C# and SQL.